Algerian Forest fIRE Report

Dataset statistics

Number of variables	14
Number of observations	243
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	26.7 KiB
Average record size in memory	112.5 B

Variable types

Numeric	11
Categorical	2
DateTime	1

Alerts

`Temperature` is highly correlated with `RH` and 6 other fields	High correlation
`RH` is highly correlated with `Temperature` and 5 other fields	High correlation
`Rain` is highly correlated with `Temperature` and 2 other fields	High correlation
`FFMC` is highly correlated with `Temperature` and 7 other fields	High correlation
`DMC` is highly correlated with `df_index` and 6 other fields	High correlation
`DC` is highly correlated with `df_index` and 5 other fields	High correlation
`ISI` is highly correlated with `Temperature` and 7 other fields	High correlation
`BUI` is highly correlated with `df_index` and 6 other fields	High correlation
`FWI` is highly correlated with `df_index` and 8 other fields	High correlation
`df_index` is highly correlated with `DMC` and 4 other fields	High correlation
`Ws` is highly correlated with `Temperature` and 1 other fields	High correlation
`Classes` is highly correlated with `df_index` and 8 other fields	High correlation
`Region` is highly correlated with `RH`	High correlation
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Rain` has 133 (54.7%) zeros	Zeros
`ISI` has 4 (1.6%) zeros	Zeros
`FWI` has 9 (3.7%) zeros	Zeros

Reproduction

Analysis started	2022-11-18 15:59:47.835820
Analysis finished	2022-11-18 15:59:54.610599
Duration	6.77 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	243
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	121

Minimum	0
Maximum	242
Zeros	1
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	12.1
Q1	60.5
median	121
Q3	181.5
95-th percentile	229.9
Maximum	242
Range	242
Interquartile range (IQR)	121

Descriptive statistics

Standard deviation	70.29224708
Coefficient of variation (CV)	0.5809276618
Kurtosis	-1.2
Mean	121
Median Absolute Deviation (MAD)	61
Skewness	0
Sum	29403
Variance	4941
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.4%
181	1	0.4%
154	1	0.4%
155	1	0.4%
156	1	0.4%
157	1	0.4%
158	1	0.4%
159	1	0.4%
160	1	0.4%
161	1	0.4%
Other values (233)	233	95.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.4%
1	1	0.4%
2	1	0.4%
3	1	0.4%
4	1	0.4%
5	1	0.4%
6	1	0.4%
7	1	0.4%
8	1	0.4%
9	1	0.4%

Value	Count	Frequency (%)
242	1	0.4%
241	1	0.4%
240	1	0.4%
239	1	0.4%
238	1	0.4%
237	1	0.4%
236	1	0.4%
235	1	0.4%
234	1	0.4%
233	1	0.4%

Temperature
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	19
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.15226337

Minimum	22
Maximum	42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	22
5-th percentile	26
Q1	30
median	32
Q3	35
95-th percentile	37.9
Maximum	42
Range	20
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.628039481
Coefficient of variation (CV)	0.1128393183
Kurtosis	-0.1414144576
Mean	32.15226337
Median Absolute Deviation (MAD)	3
Skewness	-0.1913273285
Sum	7813
Variance	13.16267048
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
35	29	11.9%
31	25	10.3%
34	24	9.9%
33	23	9.5%
30	22	9.1%
32	21	8.6%
36	21	8.6%
29	18	7.4%
28	15	6.2%
27	8	3.3%
Other values (9)	37	15.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
22	2	0.8%
24	3	1.2%
25	6	2.5%
26	5	2.1%
27	8	3.3%
28	15	6.2%
29	18	7.4%
30	22	9.1%
31	25	10.3%
32	21	8.6%

Value	Count	Frequency (%)
42	1	0.4%
40	3	1.2%
39	6	2.5%
38	3	1.2%
37	8	3.3%
36	21	8.6%
35	29	11.9%
34	24	9.9%
33	23	9.5%
32	21	8.6%

RH
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	62
Distinct (%)	25.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.04115226

Minimum	21
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	21
5-th percentile	37
Q1	52.5
median	63
Q3	73.5
95-th percentile	86
Maximum	90
Range	69
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	14.82816012
Coefficient of variation (CV)	0.2390052341
Kurtosis	-0.5089428114
Mean	62.04115226
Median Absolute Deviation (MAD)	11
Skewness	-0.2427904556
Sum	15076
Variance	219.8743326
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64	10	4.1%
55	10	4.1%
58	8	3.3%
78	8	3.3%
54	8	3.3%
80	7	2.9%
68	7	2.9%
65	7	2.9%
73	7	2.9%
66	7	2.9%
Other values (52)	164	67.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	1	0.4%
24	1	0.4%
26	1	0.4%
29	1	0.4%
31	1	0.4%
33	2	0.8%
34	3	1.2%
35	1	0.4%
36	1	0.4%
37	3	1.2%

Value	Count	Frequency (%)
90	1	0.4%
89	3	1.2%
88	3	1.2%
87	4	1.6%
86	3	1.2%
84	2	0.8%
83	1	0.4%
82	3	1.2%
81	6	2.5%
80	7	2.9%

Ws
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.49382716

Minimum	6
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	6
5-th percentile	11
Q1	14
median	15
Q3	17
95-th percentile	20
Maximum	29
Range	23
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.811385309
Coefficient of variation (CV)	0.1814519602
Kurtosis	2.621703531
Mean	15.49382716
Median Absolute Deviation (MAD)	2
Skewness	0.5555858445
Sum	3765
Variance	7.903887358
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
14	43	17.7%
15	40	16.5%
13	30	12.3%
17	28	11.5%
16	27	11.1%
18	25	10.3%
19	15	6.2%
21	8	3.3%
12	7	2.9%
11	7	2.9%
Other values (8)	13	5.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.4%
8	1	0.4%
9	2	0.8%
10	3	1.2%
11	7	2.9%
12	7	2.9%
13	30	12.3%
14	43	17.7%
15	40	16.5%
16	27	11.1%

Value	Count	Frequency (%)
29	1	0.4%
26	1	0.4%
22	2	0.8%
21	8	3.3%
20	2	0.8%
19	15	6.2%
18	25	10.3%
17	28	11.5%
16	27	11.1%
15	40	16.5%

Rain
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	39
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.762962963

Minimum	0
Maximum	16.8
Zeros	133
Zeros (%)	54.7%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.5
95-th percentile	4.37
Maximum	16.8
Range	16.8
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	2.003206796
Coefficient of variation (CV)	2.625562305
Kurtosis	25.82298667
Mean	0.762962963
Median Absolute Deviation (MAD)	0
Skewness	4.568629806
Sum	185.4
Variance	4.012837466
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	133	54.7%
0.1	18	7.4%
0.2	11	4.5%
0.3	10	4.1%
0.4	8	3.3%
0.7	6	2.5%
0.6	6	2.5%
0.5	5	2.1%
2	3	1.2%
1.1	3	1.2%
Other values (29)	40	16.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	133	54.7%
0.1	18	7.4%
0.2	11	4.5%
0.3	10	4.1%
0.4	8	3.3%
0.5	5	2.1%
0.6	6	2.5%
0.7	6	2.5%
0.8	2	0.8%
0.9	1	0.4%

Value	Count	Frequency (%)
16.8	1	0.4%
13.1	1	0.4%
10.1	1	0.4%
8.7	1	0.4%
8.3	1	0.4%
7.2	1	0.4%
6.5	1	0.4%
6	1	0.4%
5.8	1	0.4%
4.7	1	0.4%

FFMC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	173
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.84238683

Minimum	28.6
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	28.6
5-th percentile	47.13
Q1	71.85
median	83.3
Q3	88.3
95-th percentile	92.19
Maximum	96
Range	67.4
Interquartile range (IQR)	16.45

Descriptive statistics

Standard deviation	14.34964126
Coefficient of variation (CV)	0.1843422567
Kurtosis	1.040086992
Mean	77.84238683
Median Absolute Deviation (MAD)	5.8
Skewness	-1.320130116
Sum	18915.7
Variance	205.9122042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88.9	7	2.9%
89.4	5	2.1%
89.1	4	1.6%
89.3	4	1.6%
85.4	4	1.6%
47.4	3	1.2%
88.3	3	1.2%
79.9	3	1.2%
78.3	3	1.2%
87	3	1.2%
Other values (163)	204	84.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
28.6	1	0.4%
30.5	1	0.4%
36.1	1	0.4%
37.3	1	0.4%
37.9	1	0.4%
40.9	1	0.4%
41.1	1	0.4%
42.6	1	0.4%
44.9	1	0.4%
45	1	0.4%

Value	Count	Frequency (%)
96	1	0.4%
94.3	1	0.4%
94.2	1	0.4%
93.9	2	0.8%
93.8	1	0.4%
93.7	1	0.4%
93.3	1	0.4%
93	1	0.4%
92.5	2	0.8%
92.2	2	0.8%

DMC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	165
Distinct (%)	67.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.68065844

Minimum	0.7
Maximum	65.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0.7
5-th percentile	1.9
Q1	5.8
median	11.3
Q3	20.8
95-th percentile	41.04
Maximum	65.9
Range	65.2
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	12.39303975
Coefficient of variation (CV)	0.8441746537
Kurtosis	2.462550971
Mean	14.68065844
Median Absolute Deviation (MAD)	6.9
Skewness	1.522982931
Sum	3567.4
Variance	153.5874343
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.9	5	2.1%
12.5	4	1.6%
1.9	4	1.6%
2.5	3	1.2%
2.6	3	1.2%
16	3	1.2%
3.4	3	1.2%
16.5	3	1.2%
8.3	3	1.2%
3	3	1.2%
Other values (155)	209	86.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.7	1	0.4%
0.9	2	0.8%
1.1	2	0.8%
1.2	1	0.4%
1.3	3	1.2%
1.7	1	0.4%
1.9	4	1.6%
2.1	1	0.4%
2.2	2	0.8%
2.4	1	0.4%

Value	Count	Frequency (%)
65.9	1	0.4%
61.3	1	0.4%
56.3	1	0.4%
54.2	1	0.4%
51.3	1	0.4%
50.2	1	0.4%
47	1	0.4%
46.6	1	0.4%
46.1	1	0.4%
45.6	1	0.4%

DC
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	197
Distinct (%)	81.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.4308642

Minimum	6.9
Maximum	220.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	6.9
5-th percentile	7.6
Q1	12.35
median	33.1
Q3	69.1
95-th percentile	158.94
Maximum	220.4
Range	213.5
Interquartile range (IQR)	56.75

Descriptive statistics

Standard deviation	47.66560598
Coefficient of variation (CV)	0.9642883401
Kurtosis	1.596466845
Mean	49.4308642
Median Absolute Deviation (MAD)	23.9
Skewness	1.473460229
Sum	12011.7
Variance	2272.009994
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	5	2.1%
8.2	4	1.6%
7.5	4	1.6%
8.4	4	1.6%
8.3	4	1.6%
7.8	4	1.6%
7.6	4	1.6%
17	3	1.2%
9.1	2	0.8%
34.5	2	0.8%
Other values (187)	207	85.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.9	1	0.4%
7	2	0.8%
7.1	1	0.4%
7.3	2	0.8%
7.4	2	0.8%
7.5	4	1.6%
7.6	4	1.6%
7.7	2	0.8%
7.8	4	1.6%
7.9	1	0.4%

Value	Count	Frequency (%)
220.4	1	0.4%
210.4	1	0.4%
200.2	1	0.4%
190.6	1	0.4%
181.3	1	0.4%
180.4	1	0.4%
177.3	1	0.4%
171.3	1	0.4%
168.2	1	0.4%
167.2	1	0.4%

ISI
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	106
Distinct (%)	43.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.742386831

Minimum	0
Maximum	19
Zeros	4
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.3
Q1	1.4
median	3.5
Q3	7.25
95-th percentile	13.38
Maximum	19
Range	19
Interquartile range (IQR)	5.85

Descriptive statistics

Standard deviation	4.154233833
Coefficient of variation (CV)	0.8759795397
Kurtosis	0.86232522
Mean	4.742386831
Median Absolute Deviation (MAD)	2.4
Skewness	1.140242565
Sum	1152.4
Variance	17.25765874
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1	8	3.3%
1.2	7	2.9%
0.4	5	2.1%
2.8	5	2.1%
4.7	5	2.1%
1	5	2.1%
1.5	5	2.1%
5.2	5	2.1%
5.6	5	2.1%
1.3	4	1.6%
Other values (96)	189	77.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4	1.6%
0.1	4	1.6%
0.2	4	1.6%
0.3	3	1.2%
0.4	5	2.1%
0.5	2	0.8%
0.6	4	1.6%
0.7	4	1.6%
0.8	3	1.2%
0.9	2	0.8%

Value	Count	Frequency (%)
19	1	0.4%
18.5	1	0.4%
17.2	1	0.4%
16.6	1	0.4%
16	1	0.4%
15.7	2	0.8%
15.5	1	0.4%
14.3	1	0.4%
14.2	1	0.4%
13.8	2	0.8%

BUI
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	173
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.69053498

Minimum	1.1
Maximum	68
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	1.1
5-th percentile	2.42
Q1	6
median	12.4
Q3	22.65
95-th percentile	46.4
Maximum	68
Range	66.9
Interquartile range (IQR)	16.65

Descriptive statistics

Standard deviation	14.22842113
Coefficient of variation (CV)	0.852484426
Kurtosis	1.956016644
Mean	16.69053498
Median Absolute Deviation (MAD)	7.3
Skewness	1.452744841
Sum	4055.8
Variance	202.4479679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	5	2.1%
5.1	4	1.6%
7.7	3	1.2%
2.4	3	1.2%
2.9	3	1.2%
8.3	3	1.2%
14.2	3	1.2%
4.4	3	1.2%
11.5	3	1.2%
3.9	3	1.2%
Other values (163)	210	86.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.1	1	0.4%
1.4	2	0.8%
1.6	2	0.8%
1.7	2	0.8%
1.8	2	0.8%
2.2	1	0.4%
2.4	3	1.2%
2.6	2	0.8%
2.7	2	0.8%
2.8	2	0.8%

Value	Count	Frequency (%)
68	1	0.4%
67.4	1	0.4%
64	1	0.4%
62.9	1	0.4%
59.5	1	0.4%
59.3	1	0.4%
57.1	1	0.4%
54.9	1	0.4%
54.7	1	0.4%
50.9	1	0.4%

FWI
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	125
Distinct (%)	51.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.035390947

Minimum	0
Maximum	31.1
Zeros	9
Zeros (%)	3.7%
Negative	0
Negative (%)	0.0%
Memory size	2.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	0.7
median	4.2
Q3	11.45
95-th percentile	21.53
Maximum	31.1
Range	31.1
Interquartile range (IQR)	10.75

Descriptive statistics

Standard deviation	7.440567726
Coefficient of variation (CV)	1.057591225
Kurtosis	0.654985265
Mean	7.035390947
Median Absolute Deviation (MAD)	3.8
Skewness	1.147592511
Sum	1709.6
Variance	55.36204809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.4	12	4.9%
0.8	10	4.1%
0.5	9	3.7%
0.1	9	3.7%
0	9	3.7%
0.3	8	3.3%
0.9	7	2.9%
0.2	6	2.5%
0.7	5	2.1%
0.6	4	1.6%
Other values (115)	164	67.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9	3.7%
0.1	9	3.7%
0.2	6	2.5%
0.3	8	3.3%
0.4	12	4.9%
0.5	9	3.7%
0.6	4	1.6%
0.7	5	2.1%
0.8	10	4.1%
0.9	7	2.9%

Value	Count	Frequency (%)
31.1	1	0.4%
30.3	1	0.4%
30.2	1	0.4%
30	1	0.4%
26.9	1	0.4%
26.3	1	0.4%
26.1	1	0.4%
25.4	1	0.4%
24.5	1	0.4%
24	1	0.4%

Classes
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

fire	137
not fire	106

Length

Max length	8
Median length	4
Mean length	5.744855967
Min length	4

Characters and Unicode

Total characters	1396
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not fire
2nd row	not fire
3rd row	not fire
4th row	not fire
5th row	not fire

Common Values

Value	Count	Frequency (%)
fire	137	56.4%
not fire	106	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fire	243	69.6%
not	106	30.4%

Most occurring characters

Value	Count	Frequency (%)
f	243	17.4%
i	243	17.4%
r	243	17.4%
e	243	17.4%
n	106	7.6%
o	106	7.6%
t	106	7.6%
	106	7.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1290	92.4%
Space Separator	106	7.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	243	18.8%
i	243	18.8%
r	243	18.8%
e	243	18.8%
n	106	8.2%
o	106	8.2%
t	106	8.2%

Space Separator

Value	Count	Frequency (%)
	106	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1290	92.4%
Common	106	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	243	18.8%
i	243	18.8%
r	243	18.8%
e	243	18.8%
n	106	8.2%
o	106	8.2%
t	106	8.2%

Common

Value	Count	Frequency (%)
	106	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1396	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	243	17.4%
i	243	17.4%
r	243	17.4%
e	243	17.4%
n	106	7.6%
o	106	7.6%
t	106	7.6%
	106	7.6%

Region
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Bejaia	122
Sidi-Bel Abbes	121

Length

Max length	14
Median length	6
Mean length	9.983539095
Min length	6

Characters and Unicode

Total characters	2426
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sidi-Bel Abbes
2nd row	Bejaia
3rd row	Bejaia
4th row	Sidi-Bel Abbes
5th row	Bejaia

Common Values

Value	Count	Frequency (%)
Bejaia	122	50.2%
Sidi-Bel Abbes	121	49.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bejaia	122	33.5%
sidi-bel	121	33.2%
abbes	121	33.2%

Most occurring characters

Value	Count	Frequency (%)
e	364	15.0%
i	364	15.0%
a	244	10.1%
B	243	10.0%
b	242	10.0%
j	122	5.0%
S	121	5.0%
d	121	5.0%
-	121	5.0%
l	121	5.0%
Other values (3)	363	15.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1699	70.0%
Uppercase Letter	485	20.0%
Dash Punctuation	121	5.0%
Space Separator	121	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	364	21.4%
i	364	21.4%
a	244	14.4%
b	242	14.2%
j	122	7.2%
d	121	7.1%
l	121	7.1%
s	121	7.1%

Uppercase Letter

Value	Count	Frequency (%)
B	243	50.1%
S	121	24.9%
A	121	24.9%

Dash Punctuation

Value	Count	Frequency (%)
-	121	100.0%

Space Separator

Value	Count	Frequency (%)
	121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2184	90.0%
Common	242	10.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	364	16.7%
i	364	16.7%
a	244	11.2%
B	243	11.1%
b	242	11.1%
j	122	5.6%
S	121	5.5%
d	121	5.5%
l	121	5.5%
A	121	5.5%

Common

Value	Count	Frequency (%)
-	121	50.0%
	121	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	364	15.0%
i	364	15.0%
a	244	10.1%
B	243	10.0%
b	242	10.0%
j	122	5.0%
S	121	5.0%
d	121	5.0%
-	121	5.0%
l	121	5.0%
Other values (3)	363	15.0%

date
Date

Distinct	122
Distinct (%)	50.2%
Missing	0
Missing (%)	0.0%
Memory size	2.0 KiB

Minimum	2012-01-06 00:00:00
Maximum	2012-12-09 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	Temperature	RH	Ws	Rain	FFMC	DMC	DC	ISI	BUI	FWI	Classes	Region	date
0	0	32	71	12	0.7	57.1	2.5	8.2	0.6	2.8	0.2	not fire	Sidi-Bel Abbes	2012-01-06
1	1	29	57	18	0.0	65.7	3.4	7.6	1.3	3.4	0.5	not fire	Bejaia	2012-01-06
2	2	29	68	19	1.0	59.9	2.5	8.6	1.1	2.9	0.4	not fire	Bejaia	2012-01-07
3	3	28	58	18	2.2	63.7	3.2	8.5	1.2	3.3	0.5	not fire	Sidi-Bel Abbes	2012-01-07
4	4	36	45	14	0.0	78.8	4.8	10.2	2.0	4.7	0.9	not fire	Bejaia	2012-01-08
5	5	38	52	14	0.0	78.3	4.4	10.5	2.0	4.4	0.8	not fire	Sidi-Bel Abbes	2012-01-08
6	6	25	76	17	7.2	46.0	1.3	7.5	0.2	1.8	0.1	not fire	Bejaia	2012-01-09
7	7	29	86	16	0.0	37.9	0.9	8.2	0.1	1.4	0.0	not fire	Sidi-Bel Abbes	2012-01-09
8	8	29	61	13	1.3	64.4	4.1	7.6	1.0	3.9	0.4	not fire	Bejaia	2012-02-06
9	9	30	73	13	4.0	55.7	2.7	7.8	0.6	2.9	0.2	not fire	Sidi-Bel Abbes	2012-02-06

Last rows

	df_index	Temperature	RH	Ws	Rain	FFMC	DMC	DC	ISI	BUI	FWI	Classes	Region	date
233	233	30	77	21	1.8	58.5	1.9	8.4	1.1	2.4	0.3	not fire	Bejaia	2012-11-09
234	234	30	73	14	0.0	79.2	6.5	16.6	2.1	6.6	1.2	not fire	Sidi-Bel Abbes	2012-11-09
235	235	27	58	17	0.0	88.9	21.3	37.8	8.7	21.2	12.9	fire	Sidi-Bel Abbes	2012-12-06
236	236	26	81	19	0.0	84.0	13.8	61.4	4.8	17.7	7.1	fire	Bejaia	2012-12-06
237	237	31	75	13	0.1	75.1	7.9	27.7	1.5	9.2	0.9	not fire	Bejaia	2012-12-07
238	238	36	44	13	0.0	90.1	12.6	19.4	8.3	12.5	9.6	fire	Sidi-Bel Abbes	2012-12-07
239	239	39	21	17	0.4	93.0	18.4	41.5	15.5	18.4	18.8	fire	Sidi-Bel Abbes	2012-12-08
240	240	35	51	13	0.3	81.3	15.6	75.1	2.5	20.7	4.2	not fire	Bejaia	2012-12-08
241	241	29	88	13	0.0	71.0	2.6	16.6	1.2	3.7	0.5	not fire	Bejaia	2012-12-09
242	242	31	72	14	0.0	84.2	8.3	25.2	3.8	9.1	3.9	fire	Sidi-Bel Abbes	2012-12-09

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows